Evidence map›Paper›PMID 36421159›Full record

ArticleBiosensors2022

Heterogeneous Optical Fiber Sensor System for Temperature and Turbidity Assessment in Wide Range.

Arnaldo Leal-Junior, Guilherme Lopes, Leandro C Macedo, Welton Duque, Anselmo Frizera, Carlos Marques

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Arnaldo Leal-JuniorGraduate Program of Electrical Engineering of Federal, University of Espírito Santo, Vitória 29075-910, Brazil.ORCID 0000-0002-9075-0619
Guilherme LopesPhysics Department & I3N, University of Aveiro, 3810-193 Aveiro, Portugal.
Leandro C MacedoGraduate Program of Electrical Engineering of Federal, University of Espírito Santo, Vitória 29075-910, Brazil.ORCID 0000-0001-8782-0076
Welton DuqueGraduate Program of Electrical Engineering of Federal, University of Espírito Santo, Vitória 29075-910, Brazil.
Anselmo FrizeraGraduate Program of Electrical Engineering of Federal, University of Espírito Santo, Vitória 29075-910, Brazil.ORCID 0000-0002-0687-3967
Carlos MarquesPhysics Department & I3N, University of Aveiro, 3810-193 Aveiro, Portugal.ORCID 0000-0002-8596-5092
Universidade Federal do Espírito Santo · BRUniversity of Aveiro · PT

Funding

Financiadora de Estudos e Projetos 2784/20Fundação de Amparo à Pesquisa do Espírito Santo 84336650Fundação para a Ciência e Tecnologia 2021.00667.CEECINDFundação para a Ciência e Tecnologia PTDC/EEI-EEE/0415/2021Fundação para a Ciência e Tecnologia UIDB/50025/2020Fundação para a Ciência e Tecnologia UIDP/50025/2020National Council for Scientific and Technological Development 304049/2019-0National Council for Scientific and Technological Development 310709/2021-0Petrobras (Brazil) 2017/00702-6
6 · The paper itself

Abstract

This paper presents the development of an optical fiber sensor system for multiparametric assessment of temperature and turbidity in liquid samples. The sensors are based on the combination between fiber Bragg gratings (FBGs), intensity variation and surface plasmon resonance (SPR) sensors. In this case, the intensity variation sensors are capable of detecting turbidity with a resolution of about 0.5 NTU in a limited range between 0.02 NTU and 100 NTU. As the turbidity increases, a saturation trend in the sensor is observed. In contrast, the SPR-based sensor is capable of detecting refractive index (RI) variation. However, RI measurements in the turbidity calibrated samples indicate a significant variation on the RI only when the turbidity is higher than 100 NTU. Thus, the SPR-based sensor is used as a complementary approach for the dynamic range increase of the turbidity assessment, where a linearity and sensitivity of 98.6% and 313.5 nm/RIU, respectively, are obtained. Finally, the FBG sensor is used in the temperature assessment, an assessment which is not only used for water quality assessment, but also in temperature cross-sensitivity mitigation of the SPR sensor. Furthermore, this approach also leads to the possibility of indirect assessment of turbidity through the differences in the heat transfer rates due to the turbidity increase.

Indexed as

Optical FibersSurface Plasmon ResonanceRefractometryTemperaturefiber Bragg gratingsintensity variation sensorssurface plasmon resonancetemperatureturbidity

Identifiers

PMID36421159
PMCPMC9688452
OpenAlexW4309460377

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.